{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["victim", "purpose", "number of victim", "compromised data", "number of data", "attack pattern", "attacker", "place", "tool", "time", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "supported platform", "issues addressed", "releaser", "time", "common vulnerabilities and exposures", "vulnerable system", "patch number"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerable system version", "capabilities", "vulnerable system", "vulnerable system owner", "vulnerability", "supported platform"]}, {"event_type": "phishing", "trigger": true, "arguments": ["place", "purpose", "attack pattern", "tool", "time", "victim", "trusted entity", "attacker", "damage amount"]}], "input": "Criminals use various phishing methods through emails or bogus links to infect victims with malicious software ."}
{"data breach": [], "patch vulnerability": [], "discover vulnerability": [], "phishing": [{"trigger": "phishing methods", "arguments": {"place": "NAN", "purpose": "infect victims with malicious software", "attack pattern": "through emails or bogus links", "tool": "NAN", "time": "NAN", "victim": "NAN", "trusted entity": "NAN", "attacker": "Criminals", "damage amount": "NAN"}}]}